Stop Blaming Your Prompts — Fix Your Context

1. 1Identify the key components of your context that affect LLM performance
2. 2Analyze your current context and identify areas for improvement
3. 3Configure your context to better align with your desired output
4. 4Test and refine your context to optimize results
5. 5Apply your optimized context to future LLM tasks

Developers and AI engineers on a team can benefit from understanding the importance of context in LLMs, as it can significantly impact the quality of the output and reduce the time spent on prompt engineering

💡 Context is just as important as the prompt when working with LLMs, and optimizing it can lead to better results

💡 Fix your context, not just your prompts! Optimizing context can improve LLM performance and efficiency